A Mixture of Delta-Rules Approximation to Bayesian Inference in Change-Point Problems

@inproceedings{Wilson2013AMO,
  title={A Mixture of Delta-Rules Approximation to Bayesian Inference in Change-Point Problems},
  author={Robert C. Wilson and Matthew R. Nassar and Joshua I. Gold},
  booktitle={PLoS Computational Biology},
  year={2013}
}
Error-driven learning rules have received considerable attention because of their close relationships to both optimal theory and neurobiological mechanisms. However, basic forms of these rules are effective under only a restricted set of conditions in which the environment is stable. Recent studies have defined optimal solutions to learning problems in more general, potentially unstable, environments, but the relevance of these complex mathematical solutions to how the brain solves these… CONTINUE READING
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